Determining life-cycle of task flow performance for telecommunication service order

ABSTRACT

A method includes a processor for determining a life cycle of a first performance of a task flow for a telecommunication service order, determining that a performance of a first task within the first performance of the task flow has exceeded a threshold processing time, and determining that there is a problem with a first centralized system component in response to determining that the performance of the first task within the first performance of the task flow has exceeded the threshold processing time. The method may further include identifying the centralized system component for servicing when it is determined that there is a problem with the centralized system component.

This application is a continuation of U.S. patent application Ser. No.14/798,116, filed Jul. 13, 2015, now U.S. Pat. No. 9,639,394, which isherein incorporated by reference in its entirety.

The present disclosure relates generally to customer servicetroubleshooting and, more particularly, to associating records of tasksobserved on agent devices and records of system component usage with atask flow.

BACKGROUND

Various types of organizations provide customer service agents forhandling a variety of customer-facing issues. For example, a networkservice provider may staff a call center with customer service agentsfor handling issues relating to billing, service disruption, adding andremoving features from service plans, endpoint device troubleshooting,and so forth. In some cases, customers may contact the organization bytelephone at a call center. In other cases, an organization may providecustomer service agents that are available for network-based chatconversations, e.g., instant messages, text messages, emails, and soforth.

SUMMARY

In one example, the present disclosure provides a method,computer-readable medium, and device for determining a life cycle of aperformance of a task flow for a telecommunication service order. Forexample, a method may include a processor determining a life cycle of afirst performance of a task flow for a telecommunication service order,determining that a performance of a first task within the firstperformance of the task flow has exceeded a threshold processing time,and determining that there is a problem with a first centralized systemcomponent in response to determining that the performance of the firsttask within the first performance of the task flow has exceeded thethreshold processing time. The method may further include the processoridentifying the centralized system component for servicing when it isdetermined that there is a problem with the centralized systemcomponent.

BRIEF DESCRIPTION OF THE DRAWINGS

The present disclosure can be readily understood by considering thefollowing detailed description in conjunction with the accompanyingdrawings, in which:

FIG. 1 illustrates one example of a system for customer serviceinteractions, according to the present disclosure;

FIG. 2 (collectively FIG. 2A and FIG. 2B) illustrates an example taskflow for a telecommunication service order, according to the presentdisclosure;

FIG. 3 illustrates an example flowchart of a method for determining alife cycle of a performance of a task flow for a telecommunicationservice order; and

FIG. 4 illustrates a high-level block diagram of a computing devicespecially programmed for use in performing the functions describedherein.

To facilitate understanding, identical reference numerals have beenused, where possible, to designate identical elements that are common tothe figures.

DETAILED DESCRIPTION

The present disclosure broadly discloses methods, non-transitory (i.e.,tangible or physical) computer-readable storage media, and devices fordetermining a life cycle of a performance of a task flow for atelecommunication service order. For example, in one aspect the presentdisclosure relates to tracking of task flows for processingtelecommunication service orders from customers or subscribers.

In one example the present disclosure includes one or more agents'computers for gathering data pertaining to task flow processing, one ormore centralized system components for gathering additional datapertaining to task flow processing, and a server for correlating thedata pertaining to the task flow processing from the agents' computersand from the centralized system components. In accordance with thepresent disclosure, customer service orders for telecommunicationservices are processed via a number of defined task flows associatedwith a number of different order types. In other words, when a customercontacts the organization with a new telecommunication service order,the order type is identified and a task flow corresponding to the ordertype is triggered. In one example, the task flow includes a series ofdefined steps, or tasks, that one or more agents are to follow in orderto process and complete the service order. A task flow may also includetasks that invoke a number of different centralized system componentsand may involve tasks that are performed by a number of differentagents.

In one example, each agent's computer may track which centralized systemcomponents are accessed by the agent, and how the agent interacts witheach of the centralized system components. For example, a first agentmay receive an order, determine an order type, select a task flowcorresponding to the order type, and begin performing several tasksrelated to the task flow. For instance, the first agent may field aphone call from a new customer and determine that the customer wouldlike to place an order for a new Internet and telephone package (e.g., adouble-play service). The first agent may select a task flow forprocessing a new double-play service order, and may then take thecustomer's basic information such as the name, address, and so forth,according to the relevant task flow. For instance, taking the customer'sbasic information may comprise the performance of one or more tasks inthe task flow. According to the task flow, the first agent may then passprocessing of the order to a second agent, e.g., a technician, toperform one or more other tasks, such as provisioning a new telephonenumber. According to the task flow, the first agent or the second agentmay then schedule a field technician to visit the address in order tocheck the cabling and to install or configure a router and otherequipment, and so forth.

In order to provide an end-to-end view of the performance of the taskflow, the first agent's computer may gather usage data pertaining to theprocessing of the task flow, and the performance of tasks within thetask flow. The usage data may include: the time (e.g., broadly theelapsed time duration that was measured) that a particular application(e.g., a particular software application) is first opened or accessed,the duration of time that the application remains open or active on thefirst agent's computer, the time that the application is closed, one ormore interactions with the application during the time the applicationis active, such as commands entered by the first agent, the timerequired in order for various information to be entered into one or moredata entry fields of a XML form, or the like, or the time that such aform is submitted to a centralized system component, buttons clicked bythe first agent to select a file or select a particular command, and soforth.

To illustrate, the first agent's computer may track and record that thefirst agent opened and utilized a particular application screen, orapplication window, to enter the customer's basic information, and mayrecord one or more instances of time or time periods (e.g., time stamps)associated with the usage of the particular application and/or theassociated application screen. In one example, the first agent'scomputer may gather usage data via a separate application that may trackthe usage of other applications associated with the performance andprocessing of task flows. In addition, a similar application running onthe second agent's computer may determine that at one or more instancesof time or over the course of one or more time periods, the second agenthas used yet another application to access a database on a centralizedsystem component to determine a telephone number that is free to beassigned to the new customer. Thereafter, the first agent's computer maydetermine that at a later time, the first agent is using the same or adifferent application screen to request scheduling for a fieldtechnician to visit the address.

In the above example, both the first agent's computer and the secondagent's computer may send usage data that are gathered pertaining to thetask flow to a centralized server. In turn, the server may correlatethis usage data to determine that the activities of the first agent andsecond agent relate to tasks that are all part of the same task flowassociated with the same customer order. Thus, the server may determinehow long (broadly a time duration) each of the tasks of the task flowmay have taken to complete, notwithstanding that two or more agents wereinvolved in various aspects of the task flow.

In addition, by gathering usage data regarding which applications areused and which application windows are active, the centralized servermay more accurately determine how much time the agents spent activelyworking on the respective tasks. To illustrate, an agent may be handlingseveral service orders simultaneously, and may be performing differenttasks related to each service order. The agent may, for instance, beworking on a task for a first task flow associated with a first customertelecommunication service order, and may be interrupted by a call from acustomer involving a second service order. The agent may then performone or more tasks of a second task flow associated with the secondservice order. For example, the agent may take basic information fromthe customer regarding the customer's name, address, the nature of thecall, and so forth. The agent may also select the second task flow basedupon a type of order as determined from the information related by thecalling customer. After finishing the call with the customer, the agentmay then return to performing the task for the first task flow.

If the duration of time to complete the task of the first task flow iscalculated based upon simply the start time and the finish time, theresult would also include the time spent by the agent working on one ormore tasks of the second task flow. However, the agent's computer mayrecord usage data that indicates that an application screen associatedwith the task of the first task flow was not active for a period oftime, but that one or more other application screens associated with oneor more tasks of the second task flow were active during such period oftime. In this case, the centralized server is able to attribute to thetask of the first task flow, the actual time spent by the agent with thecorresponding application window in active mode. Similarly, the agentmay not complete a task of the second task flow after finishing the callwith the customer in order to return to and complete processing of thetask of the first task flow. Thereafter, the agent may then continuewith the task of the second task flow. In this case, the centralizedserver may also attribute to the task of the second task flow the timespent when a corresponding application window was active, whileexcluding the time where the usage data from the agent's computerindicates that an application window associated with the task of thefirst task flow was active.

In addition to the foregoing, centralized system components that areaccessed by the one or more agents in connection with the task flow mayalso record usage data regarding agents' interactions with therespective centralized system components. For example, a centralizedsystem component may record via time stamps as to when and how eachagent interacts with the centralized system component, e.g., whether theinteraction is a request to create, retrieve, access, or write to aparticular file, the time of the interaction, and so forth. Forinstance, a first centralized system component may record that the firstagent has submitted basic customer information associated with the newcustomer at a first time. A second centralized system component mayrecord that the second agent has requested to access a current versionof an assigned telephone numbers database at a second time, and soforth. Thus, the centralized server is able to correlate usage data frommultiple agents' computers and from multiple centralized systemcomponents to track the end-to-end processing of a task flow and todetermine how much time is spent on each task in the task flow.

From this information, bottlenecks of particular tasks in the task flowmay be identified. For example, the longest duration task for the taskflow may be determined and identified as a potential task for revision,in order to improve overall processing times for the particular ordertype. In another example, deviations from normal processing times for aperformance of the task flow, and for performance of tasks within theperformance task flow may be identified. For example, if the task flowon average requires one hour to complete, and a particular performanceof the task flow takes two hours to complete, the cause of the deviationmay need to be investigated. For instance, a marketing promotion mayhave resulted in a significant number of orders of a particular ordertype beyond a normal number of orders per day. Thus, if it is determinedthat the cause of the deviation is only temporary, it may be decidedthat the task flow should not be revised because the temporary conditionwill likely pass. On the other hand, it may be determined that agentsshould be reassigned to provide more staff to handle the surge in theorder type related to the task flow for which the normal processing timehas been exceeded. In another example, it may be observed that whereastwo supervisors are typically assigned to process orders of a particularorder type, one of the supervisors may have become unavailable resultingin a bottle-neck of a particular task in a task flow that requires asupervisor to review and check-off prior to a front-line agentcontinuing to process the order.

In still another example, it may be determined that a delay atparticular task in the task flow is affecting a large number of agentsover the course of various performances of the task flow for variousservice orders, or that only a small number of agents having significantdelays are causing the average time to complete the particular task tobe skewed. If the latter is determined, then it may be necessary toinvestigate whether a particular issue is affecting the small number ofagents. For example, it may be determined that the task flow for theorder type was recently revised to eliminate some tasks and tostreamline the task flow, but that a handful of agents are continuing toperform the tasks that were eliminated, causing a preceding or followingtask in the task flow to be recorded as taking an inordinate amount oftime. Thus, the above and similar analyses may be facilitated via thetask flow tracking of the present disclosure. In addition, these andother aspects of the present disclosure are discussed in greater detailbelow in connection with the examples of FIGS. 1-4.

To aid in understanding the present disclosure, FIG. 1 illustrates anexample system 100 comprising a plurality of different networks forsupporting the determining of a life cycle of a performance of a taskflow, e.g., associated with a telecommunication service order andrelated functions for task flow tracking. Telecommunication serviceprovider network 150 may comprise a core network with components fortelephone services, Internet services, and/or television services (e.g.,triple-play services, etc.) that are provided to subscribers, and topeer networks. In one example, telecommunication service providernetwork 150 may combine core network components of a cellular networkwith components of a triple-play service network. For example,telecommunication service provider network 150 may functionally comprisea fixed mobile convergence (FMC) network, e.g., an IP MultimediaSubsystem (IMS) network. In addition, telecommunication service providernetwork 150 may functionally comprise a telephony network, e.g., anInternet Protocol/Multi-Protocol Label Switching (IP/MPLS) backbonenetwork utilizing Session Initiation Protocol (SIP) for circuit-switchedand Voice over Internet Protocol (VoIP) telephony services.Telecommunication service provider network 150 may also further comprisea broadcast television network, e.g., a traditional cable providernetwork or an Internet Protocol Television (IPTV) network, as well as anInternet Service Provider (ISP) network. With respect to televisionservice provider functions, telecommunication service provider network150 may include one or more television servers for the delivery oftelevision content, e.g., a broadcast server, a cable head-end, avideo-on-demand (VoD) server, and so forth. For example,telecommunication service provider network 150 may comprise a videosuper hub office, a video hub office and/or a service office/centraloffice. For ease of illustration, various components oftelecommunication service provider network 150 are omitted from FIG. 1.

In one example, access networks 110 and 120 may each comprise a DigitalSubscriber Line (DSL) network, a broadband cable access network, a LocalArea Network (LAN), a cellular or wireless access network, and the like.For example, access networks 110 and 120 may transmit and receivecommunications between endpoint devices 111-113, 121-123, andtelecommunication service provider network 150 relating to voicetelephone calls, communications with web servers via the Internet 160and/or other networks 130, 140, and so forth. Access networks 110 and120 may also transmit and receive communications between endpointdevices 111-113, 121-123 and other networks and devices via Internet160.

For example, one or both of access networks 110 and 120 may comprise anISP network, such that 111-113 and/or 121-123 may communicate over theInternet 160, without involvement of telecommunication service providernetwork 150. Endpoint devices 111-113 and 121-123 may each comprise atelephone, e.g., for analog or digital telephony, a mobile device, acellular smart phone, a laptop, a tablet computer, a desktop computer, aplurality or cluster of such devices, and the like. In one example, anyone or more of endpoint devices 111-113 and 121-123 may further comprisesoftware programs, logic or instructions for providing a customerservice interaction chat conversation interface in accordance with thepresent disclosure, e.g., to facilitate interactive telecommunicationservice orders and other interactive customer service communicationsbetween customers and customer service agents of organization network130, e.g., through text message chats, multimedia chats, interactiveforms, and so forth, in addition to landline or cellular telephony orvoice communications.

In one example, the access networks 110 and 120 may be different typesof access networks. In another example, the access networks 110 and 120may be the same type of access network. In one example, one or more ofthe access networks 110 and 120 may be operated by the same or adifferent service provider from a service provider operatingtelecommunication service provider network 150. For example, each ofaccess networks 110 and 120 may comprise an Internet service provider(ISP) network, a cable access network, and so forth. In another example,each of access networks 110 and 120 may comprise a cellular accessnetwork, implementing such technologies as: global system for mobilecommunication (GSM), e.g., a base station subsystem (BSS), GSM enhanceddata rates for global evolution (EDGE) radio access network (GERAN), ora UMTS terrestrial radio access network (UTRAN) network, among others,where telecommunication service provider network 150 may provide mobilecore network 130 functions, e.g., of a public land mobile network(PLMN)-universal mobile telecommunications system (UMTS)/General PacketRadio Service (GPRS) core network, or the like. In still anotherexample, access networks 110 and 120 may each comprise a home network,which may include a home gateway, which receives data associated withdifferent types of media, e.g., television, phone, and Internet, andseparates these communications for the appropriate devices. For example,data communications, e.g., Internet Protocol (IP) based communicationsmay be sent to and received from a router in one of access networks 110or 120, which receives data from and sends data to the endpoint devices111-113 and 121-123, respectively.

In this regard, it should be noted that in some examples, endpointdevices 111-113 and 121-123 may connect to access networks 110 and 120via one or more intermediate devices, such as a home gateway and router,e.g., where access networks 110 and 120 comprise cellular accessnetworks, ISPs and the like, while in another example, endpoint devices111-113 and 121-123 may connect directly to access networks 110 and 120,e.g., where access networks 110 and 120 may comprise local area networks(LANs) and/or home networks, and the like.

In one example, organization network 130 may comprise a local areanetwork (LAN), or a distributed network connected through permanentvirtual circuits (PVCs), virtual private networks (VPNs), and the likefor providing data and voice communications. In one example,organization network 130 links one or more endpoint devices 131-134 and139 with each other and with Internet 160, telecommunication serviceprovider network 150, devices accessible via such other networks, suchas endpoint devices 111-113 and 121-123, and so forth. In one example,endpoint devices 131-134, comprise devices of organizational agents,such as customer service agents, or other employees or representativeswho are tasked with addressing customer-facing issues on behalf of theorganization that provides organization network 130.

In one example, endpoint device 139 may comprise a device of a manager,or any other type of supervisory employee or agent of the organization.In one example, endpoint devices 131-134 and 139 may each comprise atelephone for analog or digital telephony, a mobile device, a cellularsmart phone, a laptop, a tablet computer, a desktop computer, a bank orcluster of such devices, and the like. In one example, any one or moreof endpoint devices 131-134 and 139 may comprise software programs,logic or instructions for performing or supporting one or more aspectsof determining a life cycle of a performance of a task flow for atelecommunication service order, in accordance with the presentdisclosure. In addition, any one or more of endpoint devices 131-134 and139 may comprise software programs, logic or instructions for providinga customer service interaction chat conversation interface forfacilitate interactive telecommunication service orders and otherinteractive customer service communications between customers andcustomer service agents, e.g., as an alternative or in addition totelephony or voice communications. In this regard, voice calls andinteractive chat conversations between customers and organizationalagents may be facilitated via one or more of telecommunication serviceprovider network 150 and Internet 160.

In one example, organization network 130 may also include an applicationserver (AS) 135. In one example, AS 135 may comprise a computing system,such as computing system 400 depicted in FIG. 4, and may be configuredto provide one or more functions for determining a life cycle of aperformance of a task flow for a telecommunication service order, inaccordance with the present disclosure. For example, AS 135 may beconfigured to perform one or more steps, functions, or operations inconnection with the example method 300 described below.

In one example, organization network 130 may be associated with thetelecommunication service provider network 150. For example, theorganization may comprise the telecommunication service provider, wherethe organization network 130 comprises devices and components to supportcustomer service representatives, and other employees or agentsperforming customer-facing functions. For instance, endpoint devices111-113 and 121-123 may comprise devices of customers, who may also besubscribers in this context. In one example, the customers may call viaa telephone or engage in text or multi-media based chat conversationsvia endpoint devices 111-113 and 121-123 with customer servicerepresentatives using endpoint devices 131-134.

In one example, the system 100 may include one or more servers 136and/or one or more servers 155 in organization network 130 andtelecommunication service provider network 150 respectively. In oneexample, the servers 136 and/or 155 may each comprise a computingsystem, such as computing system 400 depicted in FIG. 4, and may beconfigured to host one or more centralized system components forsupporting the processing of task flows for telecommunication serviceorders. For example, a first centralized system component may comprise adatabase of assigned telephone numbers, a second centralized systemcomponent may comprise a database of basic customer account informationfor all or a portion of the customers/subscribers of thetelecommunication service provider network 150, a third centralizedsystem component may comprise a cellular network service home locationregister (HLR), e.g., with current serving base station information ofvarious subscribers, and so forth. Other centralized system componentsmay include a customer relationship management (CRM) system, aninventory system (IS), an order system, the enterprise reporting system(ERS), the account object (AO) database system, and so forth. It shouldbe noted that in one example, a centralized system component may behosted on a single server, while in another example, a centralizedsystem component may be hosted on multiple servers, e.g., in adistributed manner. Thus, an access of a centralized system componentmay, in some cases, involve accessing several physical servers.

In examples of the present disclosure, one or more agents using one ormore of endpoint devices 131-134 and 139 may therefore access variouscentralized system components in connection with performing task flowtasks for telecommunication customer service orders. An example of sucha task flow and its associated tasks, as well as example centralizedsystem components are described in greater detail below in connectionwith FIG. 2. In addition, it should be realized that the network 100 maybe implemented in a different form than that illustrated in FIG. 1, ormay be expanded by including additional endpoint devices, accessnetworks, network elements, application servers, etc. without alteringthe scope of the present disclosure.

To further aid in understanding the present disclosure, FIG. 2(collectively FIG. 2A and FIG. 2B) illustrates an example task flow 200for a customer telecommunication service order, in accordance with thepresent disclosure. Task flow 200 includes a plurality of tasks that areto be performed by a number of agents 210, 220, 230, 240, 260, and 270.Task flow 200 relates to an example order for a switched Ethernetservice. The first task is task 211 which is to be performed by a firstagent 210, e.g., a sales agent. In task 211, agent 210 submits a requestto a customer relationship management (CRM) system. For example, agent210 may comprise a sales agent who takes an initial inquiry from asubscriber or a potential subscriber and formulates a request for a newswitched Ethernet service. The task flow 200 then proceeds to task 221where the request is forwarded to ordering sales support (OSS) unit,which may comprise one or more agents, including agent 220. Task 221 maycomprise agent 220 determining whether to further process the inquirywithin the OSS unit, or to forward the inquiry to an order gatekeeper,e.g., agent 230.

If the inquiry is to be further processed within the OSS unit, the taskflow 200 proceeds to task 222 where the request is received, e.g., byagent 220, or a different agent within the OSS unit. For example, theagent 220 may decide to review the request for various reasons, such aswhen the agent 210 lacks sufficient technical experience to complete theorder or is unsure about certain technical aspects of the order. At task223, the agent 220 submits the request to the order gatekeeper, agent230.

At task 231, agent 230 receives an email alert of the new request. Attask 232, agent 230 accesses the CRM system and assigns an order manager(OM), e.g., agent 240. At task 233, agent 230 causes the CRM system tosend an email alert to agent 240, informing agent 240 that he or she hasbeen assigned as the order manager for the request.

At task 241, agent 240 accesses the CRM system. Agent 240 verifiesdocuments at task 242. At task 243, agent 240 may request a billingaccount number (BAN), if one does not already exist for the customerrequesting the new switched Ethernet service. At task 261, an ordercreator (OC), e.g., agent 260, receives a request for a new BAN, createsa BAN for the customer, and assigns the BAN to the customer in anaccount system. In one example, agent 260 is associated with a localcarrier serving the location of the customer. In this regard, the localcarrier may be integrated with or partnered with the organizationreceiving the customer telecommunication service order, or may comprisea separate and/or unrelated company that may have a partnership oragreement with the organization receiving the customer telecommunicationservice order to share information and coordinate provisioning ofinfrastructure and services for customers.

At task 262, agent 260 sends a firm order commitment (FOC) with the BANinformation. At task 244, agent 240 receives the BAN information. Attask 245, agent 240 enters the BAN information into an inventory system(IS). At task 246, agent 240 waits for a confirmed interval (CI) beforecommencing task 247. In one example, the CI is determined from the FOCsent by agent 260 at task 262. The CI may correspond to a time period orparticular date or time after which the local telecommunication companyguarantees that infrastructure to reach the customer site will be readyfor the switched Ethernet service. For example, the localtelecommunication company may have an existing facility to the customersite which may simply be activated, or may have no existing facilitysuch that a new one will need to be installed.

At task 247, agent 240 accesses the CRM system and submits a sales orderrequest (SOR). For example, the customer request for the switchedEthernet service may be made “official” by submission of the SOR. Attask 248, agent 240 accesses a business objects interface for retrievingan enterprise reporting system (ERS) report from the ERS. At task 249,agent 240 enters information from the ERS report into an account object(AO) database system. For example, the AO database system creates a linkbetween the customer and the central office. At task 250, agent 240creates an access service record (ASR) in the AO database system. Attasks 251 and 252, agent 240 splits the SOR for the order creator (OC),agent 260. For example, at task 251, agent 240 splits the SOR to the OCfor obtaining a port. For instance, in order to connect the customerrouter a port needs to be assigned. At task 252, agent 240 may split theSOR to the OC for obtaining an Ethernet virtual circuit.

At task 263, agent 260 enters the port request and the Ethernet virtualcircuit request into an order system of the local telecommunicationscompany. At task 264, agent 260 confirms the port request and theEthernet virtual circuit request in the order system. At task 265, agent260 sends a firm order commitment (FOC) to agent 240. For example, theFOC may provide a time period or particular date or time after which thelocal telecommunication company guarantees that the customer site willbe ready to activate the switched Ethernet service.

At task 253, agent 240 receives the FOC from agent 260. At task 254,agent 240 sends the FOC to a business unit process manager. At task 271,agent 270, e.g., the business unit process manager, receives the FOC. Attask 255, agent 240 splits the SOR for first bill accuracy assurance,performs a verification process, and notifies to the customer that thefirst bill has been verified at task 280.

It should be noted that agents access various centralized systemcomponents in connection with the performance of task flow 200, such asthe CRM system, inventory system (IS), the local telecommunicationcompany order system, the enterprise reporting system (ERS), the accountobject (AO) database system, and so forth. In accordance with thepresent disclosure, usage data may be collected from the agents'devices, as well as from the centralized system components in order todetermine a life cycle of the performance of the task flow 200. Inaddition, various metrics may be derived from the life cycle of theperformance of the task flow 200, such as identifying tasks which takelonger than average, task that are recurring bottlenecks, agents thattake longer than average to complete one or more tasks, and so forth.For example, by determining and tracking the life cycles of one or moreperformances of task flow 200, it may be determined that tasks 246, 248,and 263 are particular bottlenecks. For instance, task 246 requiresagent 240 to wait for a confirmed interval (CI). This is an undefinedperiod of time that depends on site readiness. Thus, the remainder ofthe task flow following step 246 is held up while waiting for task 246to complete. In another example, task 248 may require agent 240 toretrieve an ERS report, but the ERS may be configured such that thesystem is only accessible to pull reports for a 20 minute window everyhour. Thus, if agent 240 just misses the end of one window, the agent240 may need to wait up to 40 minutes to retrieve the ERS report duringthe next open window. In another example, task 263 may involve agent 260clearing errors in the SOR. If there are errors, agent 260 may correctthe errors and contact agent 240 to resubmit the SOR. Thus, if the SORincludes many errors, this may cause agent 260 to take a relativelylonger time to complete task 263 as compared to as if there were noerrors or fewer errors in the SOR. Thus, these and other conclusions maybe derived from the life cycle of the performance of the task flow 200.In addition, it should be noted that the task flow 200 of FIG. 2illustrates just one example of one particular type of a customertelecommunication service order. Thus, other customer telecommunicationservice order types may follow various task flows, and may involve thesame or different agents accessing various centralized systemcomponents.

FIG. 3 illustrates an example flowchart of a method 300 for determininga life cycle of a performance of a task flow for a telecommunicationservice order. In one example, the steps, operations, or functions ofthe method 300 may be performed by any one or more of the components ofthe system 100 depicted in FIG. 1. For instance, in one example, themethod 300 is performed by the application server 135. Alternatively, orin addition, one or more steps, operations or functions of the method300 may be implemented by a computing device having a processor, amemory and input/output devices as illustrated below in FIG. 4,specifically programmed to perform the steps, functions and/oroperations of the method. Although any one of the elements in system 100may be configured to perform various steps, operations or functions ofthe method 300, the method will now be described in terms of an examplewhere steps or operations of the method are performed by a processor,such as processor 402 in FIG. 4.

The method 300 begins at step 305 and proceeds to step 310. At step 310,the processor determines a life cycle of a first performance of a taskflow for a telecommunication service order. In one example, the lifecycle of the first performance of the task flow comprises one or moreof: a duration of time to complete the first performance of the taskflow, a duration of time to complete each of one or more tasks in thetask flow, and an identity of an agent performing each of the one ormore tasks in the task flow. In one example, the determining the lifecycle of the first performance of the task flow comprises determining afirst duration of time for a completion of the performance of a firsttask. The first duration of time for the completion of the performanceof the first task may be determined based upon usage data received froma device of a first agent, e.g., the agent responsible for performingthe first task.

For instance, the first agent's computer or terminal may gather usagedata pertaining to the processing and performance of the first taskflow, and tasks within the first task flow. The usage data may includean identification of one or more software applications that areutilized. For each application, the usage data may also include timestamps for: the time that the particular application is first opened oraccessed, the time that the application is closed, the time thatinformation is entered into one or more data entry fields of anelectronic form, or the like, or the time that such a form is submitted.The usage data may alternatively or additionally include: the durationof time that the application screen remains open or active on the firstagent's computer, one or more interactions with the application duringthe time the application is active, such as commands being entered bythe first agent, buttons clicked by the first agent to select a file orselect a particular command, and so forth.

To illustrate, the first agent's computer may track that the first agentopened and utilized a particular application screen to enter acustomer's basic information. In one example, a separate application onthe first agent's computer may track the usage of other applicationsassociated with the performance and processing of one or more tasks ofone or more task flows. In any case, the first agent's computer mayforward the usage data to the processor, which may be received by theprocessor as part of step 310. In one example, the processor may queryor prompt the device of the first agent to forward the usage data. Inanother example, the device of the first agent may send the usage dataon its own initiative, e.g., as usage data is collected, periodically,according to a hybrid scheme, or according to another scheme.

In one example, the determining the life cycle of the first performanceof the task flow may also include determining a second duration of timefor completion of a second task within the first performance of thefirst task flow. For example, the duration of time for completion of theperformance of the second task may be determined based upon datareceived from a device of a second agent, e.g., the agent responsiblefor performing the second task. For instance, the second agent'scomputer may gather usage data of the same or a similar nature to thatdescribed above in connection with the usage data gathered by the deviceof the first agent.

In one example, the first duration of time for completion of theperformance of the first task is further determined based upon usagedata received from a first centralized system component. For instance,the processor may correlate a first time stamp indicating the invocationof the first application and the identification of the first applicationfrom the usage data from the device of the first agent with an access ofthe first centralized system component. Similarly, in one example, theduration of time for completion of the performance of the second taskmay be further based upon usage data received from a second centralizedsystem component. For example, centralized system components that areaccessed by agents in connection with performing various tasks ofvarious task flows may also record usage data regarding agents'interactions with the respective centralized system components. Forexample, a centralized system component may record and time stamp whenand how each agent interacts with the centralized system component,e.g., whether the interaction is a request to create, retrieve, access,or write to a particular file, the time of the interaction, and soforth. To illustrate, in the present example the first centralizedsystem component may record that the first agent has submitted basiccustomer information associated with the new customer at a first time.Similarly, a second centralized system component may record that thesecond agent has requested to access a current version of an assignedtelephone numbers database at a second time, and so forth. Thus, in oneexample, at step 310, the processor correlates usage data from one ormore agents' devices and from one or more centralized system componentsto determine how long is spent on each task in the task flow.

For example, the first agent may have a first application screen activeat a particular time. The first agent may also be multi-tasking severalcustomer service orders. If the first agent were only working on asingle customer service order, it may be relatively easy for theprocessor, based upon the usage data, to determine which task in thetask flow for the single customer service order the first agents usageof the first application relates to. For instance, the application mayhave the sole purpose of entering customer basic information into anelectronic form for submission to a database system (e.g., a centralizedsystem component). In addition, the task flow may only include one taskwhere basic customer information is to be entered by an agent. Thus,when the first agent has the first application active, the usage datamay clearly be attributed to the task for entering basic customerinformation. On the other hand, when the first agent is multi-taskingseveral customer service orders, two or more task flows associated withthe several customer service orders may include tasks for entering basiccustomer information. Thus, it may not be clear, based solely upon theusage data from the first agent's computer to which task of which taskflow the usage of the application relates.

For instance, the first agent could be entering basic customerinformation for a first customer during performance of a task of thefirst task flow, or the first agent could be entering basic customerinformation for a second customer during performance of a task of asecond task flow. However, when the processor receives additional usageinformation from a centralized system component, the processor may thenbe able to resolve the ambiguity with the additional usage information.For example, the centralized system component may comprise a databasesystem for storing basic customer information. In addition, theadditional usage information may indicate that the first agent'sinteraction with the database system involved the creation of a newcustomer record, as opposed to the modification of an existing record.Thus, the processor may determine that usage data from the first agent'scomputer regarding the duration of time the first application window wasactive on the first agent's computer relates to a task in the first taskflow, based upon the additional usage data from the database systemindicating that the first agent created a new record at the same timethe first application window was active.

In addition, although the first agent may be assigned to handle tasksrelating to tasks flows for multiple customer service orders, theprocessor may further differentiate between time the first agent spendson a task for the first task flow and time the first agent spends on atask for the second task flow by tracking progress through therespective task flows. For instance, if the first task flow and secondtask flow both include tasks for entering basic customer information andthe first agent is responsible for both tasks, the processor maydetermine that when the first task flow has progressed to tasks beyondthe entering of the basic customer service information, that any timespent by the first agent at a later time utilizing an application screenfor entering basic customer information instead relates to a task of thesecond task flow. In other words, the processor may anticipate that aparticular application is to be invoked based upon a current task in thetask flow. For example, the processor may track that the performance ofthe first task flow has progressed to a particular task, and that thenext task in the task flow calls for the first agent to open aparticular application. Thus, when the processor determines that theapplication has been opened, e.g., based upon the usage data from theagent's device, based upon usage data from a centralized systemcomponent, etc., the processor may determine that the associated taskhas been commenced.

In one example, a second centralized system component may comprise asecond database system comprising a database file of assigned telephonenumbers. Accordingly, in one example, the second agent may utilize anapplication on the second agent's computer to access the database filefrom the second database system to determine whether a particulartelephone number requested by a customer is free/available, or whetherthe requested number is already assigned and therefore unavailable. Assuch, the usage data from the second database system may comprise arecord of the time the second agent accessed the database file ofassigned telephone numbers, the time the second agent checked-in thedatabase file, a time that the second agent updated the database file,e.g., to mark the requested telephone number as having been assigned,and so forth. Thus, as part of step 310, the processor may receive thisadditional usage data from the second database system, which may becorrelated with usage data from the device of the second agent, in orderto more accurately attribute the duration of time spent by the secondagent working on one or more tasks.

In addition, by tracking the duration of time to complete one or moretasks in the first task flow by the one or more agents, the processor isalso able to track the end-to-end processing of a task flow. Forexample, the determining the duration of time to complete the firstperformance of the first task flow may be based upon the first durationof time for the completion of the performance of the first task. In oneexample, if a second task is performed as part of the task flow, theduration of time to complete the first performance of the first taskflow may be further based upon the second duration of time for thecompletion of the performance of the second task, and so forth foradditional tasks of the first task flow. For example, the duration oftime to complete the first performance of the first task flow maycomprise at least the sum of the duration of time to complete the firsttask and the duration of time to complete the second task.

At step 320, the processor determines that a duration of time tocomplete the first task has exceeded a threshold processing time. Forexample, the threshold processing time may comprise an average time foran agent to complete the first task. The average time to complete thefirst task may be measured over a number of previous hours, days, weeks,or over any other period of time. In another example, the thresholdprocessing time may comprise the average duration of time to completethe first task plus some additional amount of time, e.g., an additional10 percent, an additional 20 percent, an additional 10 minutes, anadditional 20 minutes, an additional two standard deviations, and soforth. As described above in connection with step 310, in one example,the duration of time to complete the first task may be determined by theprocessor based upon a duration of time that an application associatedwith the first task remains active on a device of a first agent assignedto perform the first task. Thus, for instance, the first agent may begina task prior to a scheduled lunch break. The task may remain unfinishedwhen the lunch break begins, and the first agent may return to completethe first task after the lunch break. Accordingly, the duration of timeto complete the first task may not include the time in which the firstagent was on lunch break, as determined from the application and/or thedevice of the first agent being inactive during this time, and asindicated in the usage data that may be received by the processor atstep 310 from the device of the first agent.

In still another example, the threshold duration of time may be aduration that exceeds the duration of time to process one or moreadditional tasks of the task flow. For example, the processor maydetermine that for the first performance of the first task flow, theperformance of the first task has taken the longest time to complete ascompared to other tasks in the task flow. In another example, step 320may comprise the processor determining that the first task is one ofseveral tasks taking the longest time to complete as compared to othertasks, during the first performance of the first task flow, e.g., one ofthe top three longest duration tasks, one of the top five longestduration tasks, etc.

At optional step 325, the processor determines a number of performancesof the first task flow for which a time to complete the first taskexceeded a threshold processing time. For example, as mentioned above,the threshold processing time may comprise an average time for an agentto complete the first task. The average time to complete the first taskmay be measured over a number of previous hours, days, weeks, or overany other period of time. In another example, the threshold processingtime may comprise the average duration of time to complete the firsttask plus some additional amount of time, e.g., an additional 10percent, an additional 20 percent, an additional 10 minutes, anadditional 20 minutes, an additional two standard deviations, and soforth. In one example, the processor may determine a number ofperformances of the first task flow for which a time to complete thefirst task exceeded a threshold processing time based upon usage datarelating to a plurality of completed or in-progress performances of thefirst task flow.

At step 330, the processor determines whether there is a problem with afirst centralized system component, e.g., in response to determiningthat the performance of the first task within the first performance ofthe task flow has exceeded the threshold processing time. In oneexample, the processor determines that there is a problem with the firstcentralized system component when the duration of time for theperformance of the first task has exceeded the threshold processing timefor at least a threshold number of performances of the first task bydifferent agents in connection with a number of different performancesof the first task flow. In other words, where many agents are exceedingthe threshold processing time for the first task, e.g., on a given day,or during a given time period within a day, the processor may determinethat there is a problem with a centralized system component, as opposedto a particular agent or agents having trouble performing the firsttask. For example, a performance of the first task may involve an agentaccessing a database file from the first centralized system component.However, the centralized system component may be suffering from delays.For example, a network-based server hosting the first centralized systemcomponent may have lost power, or may be in the process of rebooting,causing a number of agents to be unable to perform the first task (or adifferent task that similarly requires access to the same centralizedsystem component) in connection with various task flows. In anotherexample, an agent, a supervisor, or another person within theorganization may have mistakenly modified the centralized systemcomponent such that the database file is only read and/or writeaccessible to supervisors or others with enhanced access rights, therebydenying access to the database file to the first agent and other agents.In any case, when the processor determines that there is a problem withthe first centralized system component, the method 300 then proceeds tostep 360. Otherwise the method 300 proceeds to step 340. It should benoted that there may be widespread delays observed with respect to thefirst task without the existence a corresponding problem with acentralized system component. For example, the first task may notrequire that an agent access any centralized system components. Thus,even if there are widespread delays, if the processor determines thatthe first task does not require any centralized system component access,the method 300 may proceed to step 340.

At step 360, the processor identifies the first centralized systemcomponent for servicing. For example, the processor may send a messageto one or more supervisory personnel, one or more techniciansresponsible for the upkeep of a network-based server hosting thecentralized system component, and so forth. In one example, theprocessor may provide alerts to one or more agents who may be assignedto perform tasks that call for accessing the centralized systemcomponent. Thus, the agents may be informed of the problem and will beprepared for some delay. In addition, the agents will understand thatsupervisors or other responsible parties within the organization havealready been made aware of the problem, and the agents will thereforerefrain from sending redundant and potentially time-wasting additionalnotifications to responsible parties. Following step 360, the method 300proceeds to step 395 where the method ends.

At step 340, the processor determines whether there is a problem withthe performance of the first agent. For example, at step 330 theprocessor may calculate whether a delay in the performance of the firsttask is affecting a large number of agents, thereby indicating that theproblem is not with the agents, but with a centralized system component.However, where the delay in performing the first task is affecting alesser number of agents, or only the first agent, the processor maydetermine that there is a problem that is affecting only those agentsfor which the processing time in completing the first task has exceededthe threshold. For example, the first agent and possibly one or moreadditional agents may have recently returned from vacation. However,while the first agent was away on vacation, the first task flow may havebeen revised to eliminate several tasks. In addition, agents of theorganization may have received a memorandum or attended a meeting tolearn of the change to the first task flow. Without the benefit of thisinformation, the first agent may continue to perform the now extraneoustasks, which may cause a preceding and/or a following task of the firsttask flow to be recorded as having taken an excessive amount of time tocomplete. Thus, at step 340, the processor may determine that there is aperformance problem that is specific to a group of agents including thefirst agent, or that is specific to the first agent based upon whetherexceeding the processing time for performance of the first task iswidespread or more limited. For example, when the duration of time forthe performance of the first task has exceeded a threshold processingtime for less than a threshold number of performances of the first task,e.g., over the course of several hours, over the course of a day, etc.,the processor may conclude that the problem is specific to a small groupof agents and/or specific to the first agent. The threshold processingtime referenced at step 340 may be the same or a different thresholdprocessing time that that which is utilized at steps 320 and/or 325.When there is a problem with the performance of the first agent, themethod 300 then proceeds to step 370. Otherwise the method 300 proceedsto step 350.

At step 350, the processor reports the first task for revision. Forexample, it may be determined that there are no problems with anycentralized system components, but that processing delays in performingthe first task are widespread over performances of the first task flowby a sufficiently large number or percentage of different agents. Thus,it may be determined that the first task is a particular bottleneck ofthe first task flow. For example, the first task may take an average of1.5 hours to complete whereas the entire first task flow may include 20tasks and take 2 hours to complete, on average. Thus, a 20 percentimprovement to the average processing time of the first task would havea greater impact that a 20 percent improvement in the processing time ofone of the other 19 tasks of the first task flow. As mentioned above, inone example, step 320 may comprise the processor determining that thefirst task has taken the longest time to complete, or is one of severaltasks for taking the longest periods of time to complete, as compared toother tasks in the first performance of the first task flow. Theprocessor may collect usage data from various agent devices and fromvarious centralized system components to determine that the first taskis a bottleneck based upon the first task taking longer to complete, onaverage, than other tasks in the first task flow. In addition, thedetermination may be based upon usage information gather with respect toa plurality of performances of the first task flow.

Following step 350, the method 300 proceeds to step 395 where the methodends.

As described above, when it is determined at step 340 that there is aproblem with the performance of an agent, the method 300 then proceedsto step 370. At step 370, the processor identifies a training issue orstaffing issue, and identifies at least the first agent for training, orfor relief/support. In one example, the processor may furtherdistinguish between a problem that identifies a training issue withrespect to the first agent and a problem that relates to an improperstaffing level of agents processing the first task flow. For example,the first task flow may have been recently revised to eliminate sometasks and to streamline the task flow. However, the processor maydetermine that one or more agents, including the first agent, arecontinuing to perform the tasks that were eliminated, causing apreceding or following step in the task flow to be recorded as taking aninordinate amount of time, e.g., beyond a threshold duration of time.Thus, at step 370, the processor may send a notification to a supervisoridentifying the first agent, and/or identifying the first task that hastaken an excessive amount of time for the first agent to complete, andrecommending the first agent for training. In one example, the processormay also identify other agents that are similarly affected. In oneexample, the processor may include additional information, such as theaverage duration of time for an agent to complete the first task, a timewhen the task flow and/or the first task was last revised, along withthe nature of the revision, information regarding whether the firstagent has exceeded the threshold duration of time to complete the firsttask only recently, e.g., within the last day or the last week, orwhether the first agent has been exceeding the threshold for performingthe first task over a longer period of time, e.g., for several weeks.

In another example, the processor may determine that the first taskrequires a certain type of agent to perform, e.g., a supervisor ortechnician, and that the organization is currently understaffed withsuch agents. For example, the organization may typically have twosupervisors on duty at all times, but one of the supervisors may havehad to leave unexpectedly, leaving only a single supervisor to performthe workload typically handled by two. In one example, the processor maytherefore obtain additional data regarding agents on duty from one ormore other centralized system components that are not directly relatedto the processing of task flows. For example, a human resources/employeemanagement server may track when agents may check-in and check-out ofwork, e.g., by recording when agents log-in and-log out of theircomputers, recording when agents electronic identification badges arepresented to gain entry to the building or work unit, and so forth. Whenthe processor determines from the usage data that the first task istaking the first agent (e.g., the supervisor left alone on duty) anexcessive time to finish, the processor may alert a responsible party,such as the supervisor's supervisor, to recommend a staffing adjustment.For example, one of the front-line agents may be temporarily reassignedto handle supervisory duties until a second actual supervisor isavailable. Thus, although there may be ramifications from having oneless front-line agent, the total throughput of customer service ordersby the organization may increase because the bottleneck at the firsttask may be alleviated.

Following step 370, the method 300 proceeds to step 395 where the methodends.

In addition, although not specifically specified, one or more steps,functions or operations of the method 300 may include a storing,displaying and/or outputting step as required for a particularapplication. In other words, any data, records, fields, and/orintermediate results discussed in the method 300 can be stored,displayed and/or outputted either on the device executing the method300, or to another device, as required for a particular application.

Furthermore, steps, blocks, functions, or operations in FIG. 3 thatrecite a determining operation or involve a decision do not necessarilyrequire that both branches of the determining operation be practiced. Inother words, one of the branches of the determining operation can bedeemed as an optional step. In addition, one or more steps, blocks,functions, or operations of the above described method 300 may compriseoptional steps, or can be combined, separated, and/or performed in adifferent order from that described above, without departing from theexamples of the present disclosure.

As such, the present disclosure provides at least one advancement in thetechnical field of customer telecommunication service order systems.This advancement is in addition to the traditional methods of performingtime and motion studies where a human consultant shadows a number oforganization agents over a number of workdays, recording the tasks eachagent performs, the duration of time to complete each task, and anynumber of qualitative observations. In particular, the presentdisclosure includes the determination of a life cycle of a performanceof a task flow, e.g., providing an end-to-end view of the performance ofthe task flow. In one example, the determination of the life cycle ofthe performance of a task flow includes correlating usage data from oneor more agent devices with usage data from one or more centralizedsystem components. In one example, the determination of the life cycleof the performance of a task flow includes tracking the times at which aparticular application is active on the device of an agent in order todetermine when the agent is actually and actively working on aparticular task, as opposed to simply tracking when a task is begun andcompleted. This enables a more accurate determination of how much timeagents spend actively working on the respective tasks. Bottlenecks ofparticular tasks in the task flow may also be identified and resolved inan improved manner. In addition, the present disclosure provide forefficient and improved determination of whether delays in taskprocessing are a result of problems with centralized system components,problems with a particular agent or agents, or a staffing problem. Thisleads to more efficient telecommunication customer service orderprocessing, greater customer satisfaction, and better and more efficientuse of human resources within an organization.

The present disclosure also provides a transformation of data, e.g.,usage data is generated by one or more agent devices and one or morecentralized system components. The usage data is gathered, stored,correlated, and analyzed, and is transformed into additional data or newdata that: characterizes whether or not a performance of a task hasexceeded a threshold processing time, identifies a centralized systemcomponent as having a problem and being in need of servicing, identifiesan agent or agents in need of training, and so forth.

Finally, examples of the present disclosure improve the functioning of acomputing device, e.g., a server. Namely, a server for tracking theprocessing of task flows is improved by the use of usage data fromdevices of agents and from centralized system components, includingusage data that tracks the times at which a particular application isactive on the device of an agent in order to determine when the agent isactually and actively working on a particular task, as opposed to simplytracking when a task is begun and completed, thereby providing a serverthat is more efficiently able to determine how much time agents spendactively working on the respective tasks, to identify bottlenecks ofparticular tasks in the task flow, and to differentiate between whetherdelays in task processing are a result of problems with centralizedsystem components, problems with a particular agent or agents, or astaffing problem.

FIG. 4 depicts a high-level block diagram of a computing device suitablefor use in performing the functions described herein. As depicted inFIG. 4, the system 400 comprises one or more hardware processor elements402 (e.g., a central processing unit (CPU), a microprocessor, or amulti-core processor), a memory 404 (e.g., random access memory (RAM)and/or read only memory (ROM)), a module 405 for determining a lifecycle of a performance of a task flow for a telecommunication serviceorder, and various input/output devices 406 (e.g., storage devices,including but not limited to, a tape drive, a floppy drive, a hard diskdrive or a compact disk drive, a receiver, a transmitter, a speaker, adisplay, a speech synthesizer, an output port, an input port and a userinput device (such as a keyboard, a keypad, a mouse, a microphone andthe like)). Although only one processor element is shown, it should benoted that the computing device may employ a plurality of processorelements. Furthermore, although only one computing device is shown inthe figure, if the method 300 as discussed above is implemented in adistributed or parallel manner for a particular illustrative example,i.e., the steps of the method, or the entire method is implementedacross multiple or parallel computing devices, then the computing deviceof this figure is intended to represent each of those multiple computingdevices.

Furthermore, one or more hardware processors can be utilized insupporting a virtualized or shared computing environment. Thevirtualized computing environment may support one or more virtualmachines representing computers, servers, or other computing devices. Insuch virtualized virtual machines, hardware components such as hardwareprocessors and computer-readable storage devices may be virtualized orlogically represented.

The one or more hardware processors 402 can also be configured orprogrammed to cause other devices to perform one or more operations asdiscussed above. In other words, the one or more hardware processors 402may serve the function of a central controller directing other devicesto perform the one or more operations as discussed above.

It should be noted that the present disclosure can be implemented insoftware and/or in a combination of software and hardware, e.g., usingapplication specific integrated circuits (ASIC), a programmable gatearray (PGA) including a Field PGA, or a state machine deployed on ahardware device, a computing device or any other hardware equivalents,e.g., computer readable instructions pertaining to the method discussedabove can be used to configure a hardware processor to perform thesteps, functions and/or operations of the above disclosed method. In oneexample, instructions and data for the present module or process 405 fordetermining a life cycle of a performance of a task flow for atelecommunication service order (e.g., a software program comprisingcomputer-executable instructions) can be loaded into memory 404 andexecuted by hardware processor element 402 to implement the steps,functions or operations as discussed above in connection with theillustrative method 300. Furthermore, when a hardware processor executesinstructions to perform “operations”, this could include the hardwareprocessor performing the operations directly and/or facilitating,directing, or cooperating with another hardware device or component(e.g., a co-processor and the like) to perform the operations.

The processor executing the computer readable or software instructionsrelating to the above described method can be perceived as a programmedprocessor or a specialized processor. As such, the present module 405for determining a life cycle of a performance of a task flow for atelecommunication service order (including associated data structures)of the present disclosure can be stored on a tangible or physical(broadly non-transitory) computer-readable storage device or medium,e.g., volatile memory, non-volatile memory, ROM memory, RAM memory,magnetic or optical drive, device or diskette and the like. Furthermore,a “tangible” computer-readable storage device or medium comprises aphysical device, a hardware device, or a device that is discernible bythe touch. More specifically, the computer-readable storage device maycomprise any physical devices that provide the ability to storeinformation such as data and/or instructions to be accessed by aprocessor or a computing device such as a computer or an applicationserver.

While various examples have been described above, it should beunderstood that they have been presented by way of illustration only,and not a limitation. Thus, the breadth and scope of any aspect of thepresent disclosure should not be limited by any of the above-describedexamples, but should be defined only in accordance with the followingclaims and their equivalents.

What is claimed is:
 1. A method, comprising: determining, by aprocessor, a life cycle of a first performance of a task flow for atelecommunication service order, wherein the task flow comprises aplurality of tasks to be followed by at least one human agent associatedwith a telecommunication service provider in order to complete thetelecommunication service order, wherein the life cycle of the firstperformance of the task flow comprises a duration of time to completethe first performance of the task flow, a duration of time to completeeach of the plurality of tasks in the task flow, and an identity of ahuman agent of the at least one human agent performing each of theplurality of tasks in the task flow; determining, by the processor, aperformance of a first task of the plurality of tasks within the firstperformance of the task flow has exceeded a threshold processing timeduration to complete the first task, wherein a first duration of timefor a completion of the performance of the first task is determinedbased upon a duration of time that a first application screen associatedwith the first task is active on a device of a first human agent of theat least one human agent performing the first task; determining, by theprocessor, that there is a problem with a first centralized systemcomponent in response to the determining the performance of the firsttask within the first performance of the task flow has exceeded thethreshold processing time duration; and Identifying, by the processor,the first centralized system component for servicing in response to thedetermining the problem with the first centralized system component. 2.The method of claim 1, wherein the determining the life cycle of thefirst performance of the task flow comprises: determining a duration oftime to complete the first performance of the task flow, wherein thedetermining the duration of time to complete the first performance ofthe task flow is based upon the first duration of time for thecompletion of the performance of the first task.
 3. The method of claim2, wherein the first duration of time for the completion of theperformance of the first task is further determined based upon datareceived from the first centralized system component.
 4. The method ofclaim 2, wherein the determining the life cycle of the first performanceof the task flow further comprises: determining a second duration oftime for a completion of a second task of the plurality of tasks withinthe first performance of the task flow, wherein the second duration oftime for the completion of the performance of the second task isdetermined based upon data received from a device of a second humanagent of the at least one human agent, wherein the determining theduration of time to complete the first performance of the task flow isbased upon the first duration of time for the completion of theperformance of the first task and is further based upon the secondduration of time for the completion of the performance of the secondtask.
 5. The method of claim 4, wherein the performance of the firsttask is performed by the first human agent, wherein the performance ofthe second task is performed by the second human agent.
 6. The method ofclaim 2, wherein data received from the device of the first human agentused in determining the first duration of time for the completion of theperformance of the first task comprises a first time stamp indicating atime of an invocation of a first application and an identification ofthe first application.
 7. The method of claim 6, wherein the determiningthe first duration of time for the completion of the performance of thefirst task is further based upon data received from the firstcentralized system component, wherein the determining the first durationof time for the completion of the performance of the first task furthercomprises correlating the first time stamp indicating the time of theinvocation of the first application and the identification of the firstapplication with an access of the first centralized system component. 8.The method of claim 1, wherein the first application screen isdetermined to be associated with the performance of the first task basedupon a tracking of a progress through the first performance of the taskflow to a current task of the plurality of tasks of the task flow,wherein a first application associated with the first application screenis anticipated to be invoked based upon the current task of the taskflow.
 9. The method of claim 1, further comprising: determining a numberof performances of the task flow for which a time to complete the firsttask has exceeded the threshold processing time duration.
 10. The methodof claim 9, further comprising: reporting the first task as beingsubject to revision when the number of performances of the task flow forwhich the time to complete the first task has exceeded the thresholdprocessing time duration exceeds a threshold number of performances. 11.The method of claim 9, further comprising: identifying a problem with aperformance of the first human agent of the at least one human agentwhen the number of performances of the task flow for which the time tocomplete the first task has exceeded the threshold processing timeduration is less than a threshold number of performances, wherein theperformance of the first task within the first performance of the taskflow is performed by the first human agent.
 12. The method of claim 11,wherein the problem with the first human agent comprises a need fortraining.
 13. The method of claim 11, wherein the problem with the firsthuman agent comprises an improper staffing level.
 14. The method ofclaim 1, wherein the telecommunication service order is of a firsttelecommunication service order type of a plurality of telecommunicationservice order types, where each of the plurality of telecommunicationservice order types is associated with a different one of a plurality oftask flows, the plurality of task flows comprising the task flow. 15.The method of claim 1, wherein the first centralized system component isimplemented on a network-based server.
 16. A non-transitorycomputer-readable storage medium storing instructions which, whenexecuted by a processor, cause the processor to perform operations, theoperations comprising: determining a life cycle of a first performanceof a task flow for a telecommunication service order, wherein the taskflow comprises a plurality of tasks to be followed by at least one humanagent associated with a telecommunication service provider in order tocomplete the telecommunication service order, wherein the life cycle ofthe first performance of the task flow comprises a duration of time tocomplete the first performance of the task flow, a duration of time tocomplete each of the plurality of tasks in the task flow, and anidentity of a human agent of the at least one human agent performingeach of the plurality of tasks in the task flow; determining aperformance of a first task of the plurality of tasks within the firstperformance of the task flow has exceeded a threshold processing timeduration to complete the first task, wherein a first duration of timefor a completion of the performance of the first task is determinedbased upon a duration of time that a first application screen associatedwith the first task is active on a device of a first human agent of theat least one human agent performing the first task; determining thatthere is a problem with a first centralized system component in responseto the determining the performance of the first task within the firstperformance of the task flow has exceeded the threshold processing timeduration; and identifying the first centralized system component forservicing in response to the determining the problem with the firstcentralized system component.
 17. The non-transitory computer-readablestorage medium of claim 16, wherein the determining the life cycle ofthe first performance of the task flow comprises: determining a durationof time to complete the first performance of the task flow, wherein thedetermining the duration of time to complete the first performance ofthe task flow is based upon the first duration of time for thecompletion of the performance of the first task.
 18. The non-transitorycomputer-readable storage medium of claim 17, wherein the first durationof time for the completion of the performance of the first task isfurther determined based upon data received from the first centralizedsystem component.
 19. The non-transitory computer-readable storagemedium of claim 17, wherein the determining the life cycle of the firstperformance of the task flow further comprises: determining a secondduration of time for a completion of a second task of the plurality oftasks within the first performance of the task flow, wherein the secondduration of time for the completion of the performance of the secondtask is determined based upon data received from a device of a secondhuman agent of the at least one human agent, wherein the determining theduration of time to complete the first performance of the task flow isbased upon the first duration of time for the completion of theperformance of the first task and is further based upon the secondduration of time for the completion of the performance of the secondtask.
 20. A device, comprising: a processor; and a computer-readablestorage medium storing instructions which, when executed by theprocessor, cause the processor to perform operations, the operationscomprising: determining a life cycle of a first performance of a taskflow for a telecommunication service order, wherein the task flowcomprises a plurality of tasks to be followed by at least one humanagent associated with a telecommunication service provider in order tocomplete the telecommunication service order, wherein the life cycle ofthe first performance of the task flow comprises a duration of time tocomplete the first performance of the task flow, a duration of time tocomplete each of the plurality of tasks in the task flow, and anidentity of a human agent of the at least one human agent performingeach of the plurality of tasks in the task flow; determining aperformance of a first task of the plurality of tasks within the firstperformance of the task flow has exceeded a threshold processing timeduration to complete the first task, wherein a first duration of timefor a completion of the performance of the first task is determinedbased upon a duration of time that a first application screen associatedwith the first task is active on a device of a first human agent of theat least one human agent performing the first task; determining thatthere is a problem with a first centralized system component in responseto the determining the performance of the first task within the firstperformance of the task flow has exceeded the threshold processing timeduration; and identifying the first centralized system component forservicing in response to the determining the problem with the firstcentralized system component.